Senior Site Reliability Engineer

• Own the reliability of critical production systems end to end, including instrumentation, reliability targets, operations, and performance under real-world traffic.

• Define and maintain SLIs, SLOs, and error budgets for key services, connecting reliability data to engineering priorities and investment decisions.

• Improve alert quality by increasing actionable signal, reducing unnecessary noise, and identifying gaps where customer-impacting issues are not detected quickly enough.

• Take a leading role in high-severity incident response, investigating issues systematically across service boundaries, restoring service, and driving actionable postmortems.

• Design and operate secure, resilient, and cost-efficient infrastructure with a strong focus on failure modes, including timeouts, retries, backpressure, load shedding, graceful degradation, and blast-radius reduction.

• Perform capacity and performance analysis through load testing, profiling, saturation analysis, and proactive headroom planning.

• Improve change safety through progressive delivery, automated rollback, meaningful pre-production validation, and dependable deployment practices.

• Manage infrastructure through code and configuration, primarily using Terraform, while maintaining consistency with broader service architecture.

• Design, develop, and ship production software and developer-facing tooling that reduces operational toil and simplifies service ownership.

• Conduct controlled failure testing, game days, and chaos exercises to identify system weaknesses and establish safe operating limits.

• Partner with product engineering teams on production readiness for new and high-risk services, including capacity, failure modes, rollback strategies, runbooks, and on-call handoffs.

• Participate in the on-call rotation and continuously improve the experience through better runbooks, clearer escalation paths, and reduced pager fatigue.

• Apply a strong security mindset to engineering work by identifying potential vulnerabilities in your own implementations and during peer reviews.

• Serve as a technical resource for complex production challenges and mentor engineers through code reviews, pairing, and design feedback.

Requirements

• 6–10 years of experience in SRE, production engineering, infrastructure, or backend engineering, ideally in primarily cloud-based environments with meaningful responsibility for production systems.

• Proven experience owning systems end to end, from design and implementation through production operation and continuous improvement.

• Hands-on experience defining, implementing, and operating against SLIs, SLOs, and error budgets.

• Demonstrated experience responding to high-severity, customer-facing production incidents and improving organizational incident-management practices.

• Strong understanding of distributed-system failure modes in high-throughput and low-latency environments, including cache and database saturation, cascading failures, retry storms, capacity constraints, degradation, and load shedding.

• Strong cloud infrastructure fundamentals, including networking, load balancing, containerization, Kubernetes/EKS, and distributed systems.

• Extensive experience managing infrastructure through code and configuration using Terraform or an equivalent technology.

• Strong programming skills in Go, Python, or a comparable language, with the ability to build and ship production-ready software.

• Experience with observability platforms such as Datadog, Prometheus, Grafana, OpenTelemetry, or similar technologies, including the ability to instrument systems directly.

• Hands-on production experience with Redis or ElastiCache, including cluster and shard management, failover behavior, memory eviction policies, and scaling strategies.

• Strong understanding of software engineering practices, including source control, code review, comprehensive testing, and safe deployment processes.

• High degree of ownership and autonomy, with the ability to make progress when requirements are not fully defined.

• Pragmatic approach to reliability, balancing engineering investment with delivery needs and making informed decisions about acceptable risk.

• Excellent written and verbal English communication skills, including technical design documents, pull-request reviews, incident communications, and postmortems.

• Comfortable using AI tools as part of everyday engineering workflows, including incident investigation, telemetry analysis, runbook creation, and internal tooling, with practical judgment about their strengths and limitations.

Benefits

• Competitive compensation aligned with the hiring market and relevant experience.

• Fully remote working environment.

• Opportunity to work as part of a globally distributed engineering organization.

• Significant ownership over production reliability, infrastructure, and operational engineering practices.

• Opportunity to work on high-throughput, low-latency systems where reliability and performance have direct customer impact.

• Exposure to modern cloud infrastructure, observability, distributed systems, infrastructure-as-code, and AI-assisted engineering workflows.

• Opportunity to influence engineering standards and production-readiness practices across product teams.

• Collaborative environment focused on ownership, autonomy, continuous improvement, and knowledge sharing.

• Inclusive workplace that values diverse experiences, perspectives, and backgrounds.

• Candidates must be authorized to work from their home location; visa sponsorship is not provided.